Quick Overview
Slack piloted AI algorithms including predictive text, automated responses, message prioritization, thread summarization, and relevant channel suggestions. These AI features improved team engagement by helping users find and respond to important messages faster, reducing information overload and boosting productivity. The pilot reported a 30% increase in message response efficiency and saved users an average of 97 minutes per week.
Slack
Company Size
Large multinational technology company
Revenue Range
$10B+ annual revenue
Primary Challenge
Managing high volumes of internal messages and reducing communication inefficiencies
Key Metrics
\- 30% increase in message response efficiency\- 97 minutes saved per user per week\- Higher engagement\- Reduced information overload
The Problem
Employees struggled to sift through large volumes of messages, causing delays and missed information
The Solution
Slack AI features including generative AI-powered search, channel recaps, thread summaries, and message prioritization
Results
\- Faster access to relevant information\- Increased message response rates\- Improved employee engagement and productivity
“Slack AI helps users find answers, distill knowledge, and spark ideas, saving nearly 100 minutes per week.”“Channel recaps and thread summaries cut through the noise and amplify what’s most important.”
Slack Leadership
Details
Industry
Technology & SaaS
Departments
Internal Communication & Collaboration
Use Cases
Team Messaging
Tags
GenAI
NLP
Scalability
AI Tools Used
No items found.
Sources
https://slack.com/blog/news/slack-ai-has-arrivedhttps://slack.com/features/aihttps://www.psico-smart.com/en/blogs/blog-the-impact-of-ai-on-internal-communication-management-software-trends-and-predictions-for-2024-168197https://www.cnbctv18.com/technology/slack-introduces-ai-features-tools-productivity-19060561.htmhttps://www.reworked.co/collaboration-productivity/slack-joins-generative-ai-ranks-with-launch-of-slack-ai/https://www.salesforce.com/news/stories/slack-ai-news/
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